/*
 * Copyright 2016 The BigDL Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.intel.analytics.bigdl.dllib.keras.layers

import com.intel.analytics.bigdl.dllib.tensor.Tensor
import com.intel.analytics.bigdl.dllib.keras.layers.internal.InternalRecurrent
import com.intel.analytics.bigdl.dllib.keras.serializer.ModuleSerializationTest

class InternalConvLSTM2DSerialTest extends ModuleSerializationTest {
  override def test(): Unit = {
    val hiddenSize = 5
    val inputSize = 3
    val seqLength = 4
    val batchSize = 2
    val kernal = 3
    val rec = new InternalRecurrent[Float]()
    val model = rec
        .add(new InternalConvLSTM2D[Float](
          inputSize,
          hiddenSize,
          kernal,
          1,
          withPeephole = false))

    val input = Tensor[Float](batchSize, seqLength, inputSize, kernal, kernal).rand
    runSerializationTest(model, input)
  }
}
